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Course Outline
Module 1: Context, Scope, and Delivery Challenges for Government
- Differentiating Autocomplete from Autonomous Multi-Step Execution in Government Projects
- Common Misconceptions about AI in Software Delivery for Government
- Why Enhanced Prompts Alone Are Insufficient for Government Applications
- Identifying Participant Tooling, Pain Points, and Goals in Government Projects
- Selecting the Appropriate AI Operating Model for Engineering Teams in Government
Module 2: Specification Ingestion and Structured Decomposition for Government
- Constructing a Structural Inventory of Stakeholder Documents for Government Use
- Techniques for Extracting Requirements from Government Specifications
- Chunking Strategies: Structural, Semantic, and Sliding-Window Approaches in Government Projects
- Preserving Dependencies and Cross-References in Government Documentation
- Working with Tables, Diagrams, Flowcharts, and Mixed Inputs for Government Specifications
- Effectively Managing Context Windows in Government Applications
Module 3: Human Judgment Boundaries for Government
- Areas Where Human Decisions Remain Critical in Government Projects
- Identifying and Addressing Hallucinated Dependencies in Government AI Systems
- Detecting Fabricated Constraints and Inverted Logic in Government Applications
- Preventing Unsafe Defaults in Government AI Tools
- Validation Frameworks for Traceability, Consistency, and Completeness in Government Projects
Module 4: From Requirements to Code with Agentic Tools for Government
- Architecture-First Delivery Model for Government Projects
- Mapping Components and Defining Service Boundaries in Government Systems
- Using API Contracts as Anchors in Government Development
- Implementing Persistent Rules and Constraints in AI Tools for Government Use
- Linking Task Instructions to Requirements in Government Projects
- Minimal vs Constrained Prompting Approaches in Government Applications
- Generating Backend and Frontend Code from Contracts in Government Systems
Module 5: Agentic Iteration Loop for Government
- The Self-Correction Spiral in Government AI Projects
- Controlled Iterative Delivery Cycles for Government Applications
- Reviewing Diffs and Code Changes in Government Systems
- Detecting Scope Creep and Unauthorized Modifications in Government Projects
- Managing Limited Context Memory in Government AI Tools
- Using Iteration History for Continuous Improvement in Government Applications
Module 6: Code Quality Enforcement for Government
- Implementing Prompt Constraints for Edge Cases in Government Projects
- Rules Documents as Living Governance Artifacts in Government Systems
- Automated Gates with Linting and Static Analysis for Government Code
- Conducting Security Scanning of AI-Generated Code for Government Use
- Performing Dependency and Architecture Conformance Checks in Government Systems
- Human Review Protocol for AI Outputs in Government Projects
Module 7: Feedback Loops and Continuous Improvement for Government
- Feeding Structured Failures Back into AI Workflows for Government Applications
- Bounded Iterations and Stop Criteria in Government Projects
- Logging Cycles and Outcomes in Government Systems
- Improving Rules Documents Over Time in Government Applications
- Building Reusable Engineering Intelligence for Government Use
Module 8: Security Anti-Patterns in AI Delivery for Government
- Common Security Risks in Generated Code for Government Systems
- Technology-Specific Security Rules Appendices for Government Projects
- Pre-Commit Security Scanning in Government AI Development
- Secure SDLC Controls for AI-Assisted Development in Government
- Ensuring Human Accountability in Secure Delivery for Government Applications
Module 9: Testing Anchored to Specifications for Government
- Generating Test Specifications from Requirements in Government Projects
- Designing Domain-Language Tests for Government Systems
- Safely Generating Test Implementations in Government Applications
- Understanding Mutation Testing Concepts for Government Use
- Validating Specification Coverage in Government Projects
- Conducting Assertion-Strength Reviews for Government Systems
- Utilizing Diagnostic Questioning Models in Government Testing
Module 10: Maintaining the System for Government
- Managing Living Artifacts: Contracts, Maps, Rules, and Test Specifications in Government Projects
- Evolving Constraints Over Time in Government Systems
- Implementing AI Governance for Long-Term Maintainability in Government Applications
- Preventing Technical Debt Using AI Controls in Government Projects
- Establishing an Operating Model for Sustainable AI Engineering Teams in Government
Requirements
Participants should have:
- Experience in software development projects for government
- An understanding of application architecture fundamentals
- Familiarity with APIs, backend and frontend systems, or full-stack delivery
- Basic knowledge of Agile or iterative software delivery methodologies
- Awareness of software testing principles
- Exposure to AI coding tools is beneficial but not required
- Suitable for mid-level to senior technical professionals in the public sector
14 Hours
